Genetic Optimization Fuzzy PID Control of Pneumatic Servo System of Electric Proportional Valve

EasyChair Preprint 8293

Abstract

    Aiming at the problem that the selection of quantization factor and scale factor in fuzzy PID control of pneumatic servo system depends on experience, a fuzzy PID controller using genetic algorithm to optimize the fuzzy factor of fuzzy controller is proposed by using the global optimization ability of genetic algorithm. Through the mathematical modeling of the electrical proportional valve, as well as the mathematical analysis of the gas flow, the relevant transfer function is built. Through Simulink simulation, the fuzzy PID controller optimized by genetic algorithm has faster response speed and smaller overshoot compared with the fuzzy PID controller. By building a hardware in the loop experimental platform, it is further verified that the optimized fuzzy PID controller has better steady-state performance.

Keyphrases: Fuzzy PID, Pneumatic servo system, The fuzzy factor, genetic optimization

@booklet{EasyChair:8293,
  author    = {Weina Han and Kuan Ren and Jinhong Chen and Xiangjie Zhao},
  title     = {Genetic Optimization Fuzzy PID Control of Pneumatic Servo System of Electric Proportional Valve},
  howpublished = {EasyChair Preprint 8293},
  year      = {EasyChair, 2022}}